基于应变监测数据的输电杆塔疲劳寿命预测Fatigue Life Prediction of Transmission Towers Based on Strain Monitoring Data
初金良,陈扬哲,高磊,朱飞飞
CHU Jinliang,CHEN Yangzhe,GAO Lei,ZHU Feifei
摘要(Abstract)：
环境荷载对输电塔结构杆件的损伤和疲劳寿命具有显著影响,然而目前针对输电塔杆件进行实时应力监测并据此进行数据分析、性能评价和剩余寿命预测的研究较少。为此,对自然环境下某输电塔的关键杆件进行长期的应变监测,对其应变数据进行演变分析。基于雨流计数法和连续损伤动力学的疲劳损伤模型理论,提出输电塔杆件疲劳寿命计算方法。考虑输电塔不同部位的受力状态和重要程度,确定输电塔不同部位杆件寿命计算的权重系数,进而建立输电塔整体剩余寿命的计算模型,结合实测数据计算该输电塔典型部位杆件和整体结构的剩余寿命。研究表明:输电塔结构整体疲劳寿命满足工程需求;塔腿部位主材和1/3高度处主材的疲劳寿命相对较短,在健康监测以及疲劳破坏分析研究中需要重点关注。
Environmental loads damage architecture rods and remarkably affect the fatigue life of transmission towers. Nevertheless, there are few researches on real-time stress monitoring and the consequent data analysis, performance evaluation and residual life prediction of transmission tower members. Long-term strain monitoring was carried out for the key members of a transmission tower in the natural environment, and evolution analysis on strain data was conducted. Based on the rain flow counting method and the fatigue damage model theory of continuous damage mechanics, a fatigue life calculation method of transmission tower members was proposed. In view of the stress state and importance of different parts of transmission towers, the weight coefficient of life calculation of different parts of transmission tower was proposed, and then the calculation model of overall residual life of transmission tower was established. Combined with the monitoring data, the residual life of the typical parts of the transmission tower and the whole structure was analyzed. The results show that the overall fatigue life of the structure can meet engineering requirements; the fatigue life of the main materials at the tower legs and one-third of the height is relatively short, so the health monitoring and fatigue damage analysis should be particularly focused on.
关键词(KeyWords)：
输电塔;疲劳寿命;雨流计数法;应变监测;云平台
transmission tower;fatigue life;rain flow counting method;strain monitoring;cloud platform
基金项目(Foundation): 国家自然科学基金资助项目（51878017）
作者(Author):
初金良,陈扬哲,高磊,朱飞飞
CHU Jinliang,CHEN Yangzhe,GAO Lei,ZHU Feifei
DOI: 10.19585/j.zjdl.202106012
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